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RefillStatistiken

RefillStatistiken refers to the collection, analysis, and interpretation of data related to prescription refills. In healthcare and pharmacy practice, these statistics are used to assess medication use patterns, adherence, and supply chain performance. The term encompasses both patient-level metrics and aggregate, population-level trends.

Common data sources include pharmacy information systems, electronic health records, payer or pharmacy benefit manager claims,

Typical metrics include refill rate, time-between-refills, medication possession ratio (MPR), proportion of days covered (PDC), primary

Applications include monitoring chronic disease management, identifying patients at risk for non-adherence, evaluating the impact of

Methods involve data cleaning, deduplication, and reconciliation across sources, followed by calculation of time-based metrics and

Limitations include incomplete capture of all refills (e.g., over-the-counter purchases, hospital administrations), stockouts, and prescription transfers.

See also: Medication adherence, Pharmacy claims data, Medication possession ratio, Proportion of days covered.

and
patient-reported
refill
requests.
When
multiple
channels
are
involved,
data
integration
and
patient
matching
are
critical
to
avoid
double
counting.
adherence
(initiation),
and
persistent
refill
behavior.
Other
measures
include
early
refill
rates,
dose
changes,
and
regimen
stability.
In
practice,
refills
may
be
stratified
by
therapeutic
area,
patient
demographics,
or
program
intervention.
reminder
programs
or
pharmacist
interventions,
and
informing
inventory
forecasting
and
formulary
decisions.
Refill
statistics
can
support
quality
improvement,
research,
and
payer
analytics.
cohort
analyses.
Privacy
and
security
considerations,
de-identification,
and
compliance
with
health
information
regulations
are
essential.
Dosing
changes,
dose-pack
dispensing,
and
changes
in
treatment
guidelines
can
bias
refill-based
measures.
Therefore,
RefillStatistiken
should
be
interpreted
alongside
clinical
data
and
context.